Professorship for Information Systems, in particular Data Science
Organisational unit: Professoship
Organisation profile
The Business Informatics working group, in particular Data Science, headed by Prof Dr Burkhardt Funk, is dedicated to the development and application of data-driven methods for decision support in companies and public institutions.
Main research areas
The research focus lies on the use of data science and machine learning to analyse large amounts of data in order to optimise processes and decisions. A central topic is the development of intelligent systems that support decisions through data-based predictions. Fields of application include healthcare and various operational functions (e.g. marketing, accounting). We have developed approaches for predicting the effectiveness and personalisation of healthcare interventions, methods for extracting knowledge from documents (business documents, scientific papers) and for optimal budget allocation in marketing.
- Published
Economic Evaluation of an Internet-Based Stress Management Intervention Alongside a Randomized Controlled Trial
Kählke, F., Buntrock, C., Smit, F., Berking, M., Lehr, D., Heber, E., Funk, B., Riper, H. & Ebert, D. D., 15.05.2019, In: JMIR Mental Health. 6, 5, 13 p., e10866.Research output: Journal contributions › Journal articles › Research › peer-review
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Datenkompetenzen in Kooperationen fördern
Funk, B. & Wuppermann, M., 01.2019, In: DUZ Wissenschaft & Management. 2, 1, p. 26-29 4 p.Research output: Journal contributions › Journal articles › Transfer › peer-review
- Published
Topic Embeddings – A New Approach to Classify Very Short Documents Based on Predefined Topics
Lommel, L., Riebeling, M., Funk, B. & Junginger, C., 2019, Human Practice. Digital Ecologies. Our Future: 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), Tagungsband . Ludwig, T. & Pipek, V. (eds.). Siegen: Universitätsverlag Siegen, p. 453-467 15 p.Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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Possibilities to improve online mental health treatment: Recommendations for future research and developments
Becker, D., 01.01.2019, Advances in Information and Communication Networks: Proceedings of the 2018 Future of Information and Communication Conference FICC, Vol. 1. Arai, K., Kapoor, S. & Bhatia, R. (eds.). Springer, p. 91-112 22 p. (Advances in Intelligent Systems and Computing; vol. 886).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
A two-step approach for the prediction of mood levels based on diary data
Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
State-wide university implementation of an online platform for eating disorders screening and intervention.
Fitzsimmons-Craft, E. E., Firebaugh, M.-L., Graham, A. K., Eichen M., D., Monterubio, G., Balantekin, K. N., Karam, A. M., Seal , A., Funk, B., Taylor, C. B. & Wilfley, D., 05.2019, In: Psychological Services. 16, 2, p. 239-249 11 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data
Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Detecting Various Road Damage Types in Global Countries Utilizing Faster R-CNN
Kortmann, F., Talits, K., Fassmeyer, P., Warnecke, A., Meier, N., Heger, J., Drews, P. & Funk, B., 10.12.2020, Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020: Proceedings, Dec 10 - Dec 13, 2020 • Virtual Event. Wu, X., Jermaine, C., Xiong, L., Hu, X. T., Kotevska, O., Lu, S., Xu, W., Aluru, S., Zhai, C., Al-Masri, E., Chen, Z. & Saltz, J. (eds.). Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., p. 5563-5571 9 p. 9378245. (Proceedings - 2020 IEEE International Conference on Big Data, Big Data 2020).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Applying Quarter-Vehicle Model Simulation for Road Elevation Measurements Utilizing the Vehicle Level Sensor
Kortmann, F., Rodeheger, M., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 01.11.2020, 2020 IEEE 92nd Vehicular Technology Conference: Proceedings. Canada: IEEE - Institute of Electrical and Electronics Engineers Inc., 6 p. 9348664. (IEEE Vehicular Technology Conference).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Live Demonstration: Passive Sensor Setup for Road Condition Monitoring
Kortmann, F., Horstkotter, J., Warnecke, A., Meier, N., Heger, J., Funk, B. & Drews, P., 25.10.2020, 2020 IEEE SENSORS Proceedings. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 1 p. 9278776. (IEEE Sensors Proceedings).Research output: Contributions to collected editions/works › Published abstract in conference proceedings › Research › peer-review